Scalable model selection for spatial additive mixed modeling: application to crime analysis
A rapid growth in spatial open datasets has led to a huge demand for regression approaches accommodating spatial and non-spatial effects in big data. Regression model selection is particularly important to stably estimate flexible regression models. However, conventional methods can be slow for larg...
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| Beteiligte: | ; |
| Medienart: | Elektronisch Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
2020
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| In: | Jahr: 2020 |
| Online-Zugang: |
Volltext (kostenfrei) |
| Verfügbarkeit prüfen: | HBZ Gateway |